Comprehensive Spatial-Temporal and Risk Factor Insights for Optimizing Livestock Anthrax Vaccination Strategies in Karnataka, India.

anthrax basic reproduction number herd immunity machine learning management risk map spatiotemporal pattern vaccination coverage

Journal

Vaccines
ISSN: 2076-393X
Titre abrégé: Vaccines (Basel)
Pays: Switzerland
ID NLM: 101629355

Informations de publication

Date de publication:
22 Sep 2024
Historique:
received: 12 08 2024
revised: 08 09 2024
accepted: 11 09 2024
medline: 28 9 2024
pubmed: 28 9 2024
entrez: 28 9 2024
Statut: epublish

Résumé

Anthrax, a zoonotic disease affecting both livestock and humans globally, is caused by

Identifiants

pubmed: 39340111
pii: vaccines12091081
doi: 10.3390/vaccines12091081
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : The Pennsylvania State University, USA
ID : 47013240002

Auteurs

Jayashree Anandakumar (J)

ICAR-National Institute of Veterinary Epidemiology & Disease Informatics, Bengaluru 560064, Karnataka, India.

Kuralayanapalya Puttahonnappa Suresh (KP)

ICAR-National Institute of Veterinary Epidemiology & Disease Informatics, Bengaluru 560064, Karnataka, India.

Archana Veeranagouda Patil (AV)

ICAR-National Institute of Veterinary Epidemiology & Disease Informatics, Bengaluru 560064, Karnataka, India.

Chethan A Jagadeesh (CA)

ICAR-National Institute of Veterinary Epidemiology & Disease Informatics, Bengaluru 560064, Karnataka, India.

Sushma Bylaiah (S)

M S Ramaiah Institute of Technology, Bengaluru 560054, Karnataka, India.

Sharanagouda S Patil (SS)

ICAR-National Institute of Veterinary Epidemiology & Disease Informatics, Bengaluru 560064, Karnataka, India.

Divakar Hemadri (D)

ICAR-National Institute of Veterinary Epidemiology & Disease Informatics, Bengaluru 560064, Karnataka, India.

Classifications MeSH